Data Sheet 1_Preclinical evidence and potential mechanisms of tanshinone ⅡA on cognitive function in animal models of Alzheimer’s disease: a systematic review and meta-analysis.doc... by Yuanhang Rong (19207540)

“…Additionally, it exhibited antiapoptotic effects by increasing the B-cell lymphoma-2/Bcl-2-associated X protein (Bcl-2/Bax) ratio and decreasing Caspase-3 expression. …”

<b>White</b><b>-shouldered starlings </b><b>prefer</b><b> nest boxes with smaller entrance to </b><b>avoid</b><b> nest usurpation</b> by Yuran Liu (19453828)

“…However, due to large areas of land being utilized for aquaculture and livestock farming, the availability of natural tree cavities in the area has significantly decreased. This scarcity of natural nest sites provided ideal experimental conditions for attracting birds using artificial nest boxes (see Liu et al., 2023). …”

Supplementary file 3_Development and preliminary clinical feasibility of a Delphi-based aerobic exercise prescription for children with asthma.docx by Ying Zhang (40767)

“…Post-intervention outcomes showed significant improvements: 6MWD increased from 510.07 ± 31.96 to 539.27 ± 44.52 m (P < 0.001); forced expiratory volume in 1 s (FEV1)% predicted increased from 76.87 ± 5.63 to 87.61 ± 7.24 (P < 0.001); and C-ACT score increased from 17.60 ± 1.76 to 22.13 ± 1.46 (P < 0.001).…”

Supporting data for <b>Drivers, Composition and Potential for Innovative Vector Control Approaches in the mosquito</b> by Lucy Aliette Janet Mirabib Ame De Guilhem De Lataillade (11192853)

“…</p><p dir="ltr">Brief project description</p><p dir="ltr">Mosquito-borne diseases kill more humans than humans do and have done so for a long time. The most significant diseases transmitted by mosquitoes currently lack effective vaccines, and existing control methods face increasing resistance. …”

Supplementary Material for: The current status of tumor markers as biomarkers in the era of immunotherapy for hepatocellular carcinoma: alpha-fetoprotein alone is not sufficient by Hiraoka A. (4273894)

“…Positive rates for AFP (67.8%, 62.1%, 50.8%, respectively) and DCP (84.1%, 80.5%, 72.7%, respectively) were decreased (each P<0.001), while the AFP-L3 rate did not show a significant change (54.4%, 57.7%, 51.9%, respectively P=0.390). …”

Supplementary file 2_Development and preliminary clinical feasibility of a Delphi-based aerobic exercise prescription for children with asthma.docx by Ying Zhang (40767)

“…Post-intervention outcomes showed significant improvements: 6MWD increased from 510.07 ± 31.96 to 539.27 ± 44.52 m (P < 0.001); forced expiratory volume in 1 s (FEV1)% predicted increased from 76.87 ± 5.63 to 87.61 ± 7.24 (P < 0.001); and C-ACT score increased from 17.60 ± 1.76 to 22.13 ± 1.46 (P < 0.001).…”

Supplementary file 6_Development and preliminary clinical feasibility of a Delphi-based aerobic exercise prescription for children with asthma.docx by Ying Zhang (40767)

“…Post-intervention outcomes showed significant improvements: 6MWD increased from 510.07 ± 31.96 to 539.27 ± 44.52 m (P < 0.001); forced expiratory volume in 1 s (FEV1)% predicted increased from 76.87 ± 5.63 to 87.61 ± 7.24 (P < 0.001); and C-ACT score increased from 17.60 ± 1.76 to 22.13 ± 1.46 (P < 0.001).…”

Supplementary file 1_Development and preliminary clinical feasibility of a Delphi-based aerobic exercise prescription for children with asthma.docx by Ying Zhang (40767)

“…Post-intervention outcomes showed significant improvements: 6MWD increased from 510.07 ± 31.96 to 539.27 ± 44.52 m (P < 0.001); forced expiratory volume in 1 s (FEV1)% predicted increased from 76.87 ± 5.63 to 87.61 ± 7.24 (P < 0.001); and C-ACT score increased from 17.60 ± 1.76 to 22.13 ± 1.46 (P < 0.001).…”

Supplementary file 5_Development and preliminary clinical feasibility of a Delphi-based aerobic exercise prescription for children with asthma.docx by Ying Zhang (40767)

“…Post-intervention outcomes showed significant improvements: 6MWD increased from 510.07 ± 31.96 to 539.27 ± 44.52 m (P < 0.001); forced expiratory volume in 1 s (FEV1)% predicted increased from 76.87 ± 5.63 to 87.61 ± 7.24 (P < 0.001); and C-ACT score increased from 17.60 ± 1.76 to 22.13 ± 1.46 (P < 0.001).…”

Supplementary file 4_Development and preliminary clinical feasibility of a Delphi-based aerobic exercise prescription for children with asthma.docx by Ying Zhang (40767)

“…Post-intervention outcomes showed significant improvements: 6MWD increased from 510.07 ± 31.96 to 539.27 ± 44.52 m (P < 0.001); forced expiratory volume in 1 s (FEV1)% predicted increased from 76.87 ± 5.63 to 87.61 ± 7.24 (P < 0.001); and C-ACT score increased from 17.60 ± 1.76 to 22.13 ± 1.46 (P < 0.001).…”

Table 1_Time trends in mechanical thrombectomy (2017–2021): do real-world data reflect advances in evidence?.docx by Christoph Riegler (3554054)

“…</p>Conclusion<p>Between 2017 and 2021, there were significant shifts in the demographic and clinical profiles of patients undergoing EVT, along with an expansion in EVT indications. …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”